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Our science, your art.
You've got the vision; we've got the data.
Is our science the right fit for your practice? Is the earth round? Let’s find out. We have created a unique suite of machine intelligence solutions that provide you with the best information in your legal cases. We explore insightful results through our proprietary algorithms with experts with decades of experience working with behavioral science issues or collaborating with legal advisors for successful case outcomes.
31 Episodes
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We challenge the habit of late-stage theme building and show why persuasion in civil trials starts six to twelve months out. Using cognitive science, psychometrics, and language framing, we map a path to a single, coherent story that jurors accept with confidence. • why jurors construct stories rather than tally facts • the risk of inferred events and causal gaps • the four pillars of story acceptance coverage, coherence, completeness, uniqueness • mapping narrative features to legal element...
Why civil trials are decided by the story jurors reconstruct, not the one we intend to tell. We map the psychology behind narrative drift and share a data-driven framework to make plaintiff narratives resilient in court and in deliberation. • lawyer’s intended structure versus juror reconstruction • intuition, stress and simplification under cognitive load • gap-filling with personal experience and substitute standards • availability, defensive attribution and system justification • emotiona...
We challenge the false confidence of generic jury data and show how venue-specific psychographics, behavioral science, and calibrated AI deliver sharper voir dire, stronger narratives, and better outcomes for plaintiffs. We also unpack confirmation bias, defensive attribution, and hindsight bias with practical ways to neutralize them. • the danger of national averages and convenience samples • how local culture and venue history shape damages attitudes • why demographics mislead and psychogr...
Ever walked out of a focus group riding high, only to realize later you were chasing a mirage? We dig into the seven hidden mistakes that quietly sabotage plaintiff focus groups and show how to replace seductive but shaky feedback with data you can actually use at trial. We start where most strategies fail: recruitment. Convenience samples from Craigslist and generic online panels don’t mirror your jury pool and are now riddled with bots, farms, and professional survey takers. We break down ...
We argue that pretrial research only works when the data is venue-specific, scientifically vetted, and integrated end-to-end. We show how bad samples lead to undervaluing or overestimating cases, and how psychometrics, experimental design, and hyperlocal platforms sharpen strategy and jury selection. • stakes of pretrial data quality for plaintiffs • two core risks of flawed research undervaluing and overconfidence • seven common mistakes in focus groups and simulations • venue mismatch and ...
Generic AI tools present serious risks for attorneys including hallucinated legal facts, confidentiality breaches, and strategic failures that can lead to sanctions and case dismissals. • Large Language Models (LLMs) like ChatGPT create "hallucinations" - confidently stated but completely fabricated legal information including non-existent cases with fake names and citations • Courts have sanctioned attorneys who submitted AI-generated fake cases, as in Mata v. Avianca and cases involving Ja...
Trial lawyers face hidden forces that can undermine even meticulously prepared case strategies, including noise, bias, and psychological blind spots that distort judgment in ways that significantly impact outcomes. Understanding these invisible threats and implementing structured processes to manage them is essential for building more resilient, effective case strategies. • Noise refers to unwanted variability in judgments that should be consistent, creating a "lottery effect" where case out...
We explore how structured scientific experimentation can transform trial preparation, leading to more predictable outcomes in the courtroom. Moving beyond gut instinct and intuition, we reveal how evidence-based approaches can help plaintiff attorneys identify what truly moves jurors. • Traditional mock trials create noise rather than signal due to small sample sizes and one-shot testing approaches • Social dynamics in focus groups often distort results through bandwagon effects and courtesy...
Data strategy has transformed from a strategic edge to a fundamental professional duty for civil plaintiff trial teams, requiring a deep understanding of data quality, governance, and proactive bias avoidance to fulfill ethical obligations. The rapid evolution of predictive legal technology demands attorneys develop new competencies to prevent strategic missteps and potential malpractice while pursuing justice for their clients. • The "data deluge" has created both opportunities and risks as...
Jury Simulator harnesses a decade of proprietary venue-specific data to provide plaintiff attorneys with unprecedented strategic advantages in trial preparation. This purpose-built predictive platform transforms how civil litigators approach case development through sophisticated juror modeling and behavioral analysis. • Venue-specific machine intelligence delivers hyper-relevant insights based on local jury pools rather than generic national trends • Virtual juror personas mirror the exact ...
Advanced machine intelligence is revolutionizing pretrial preparation for civil plaintiff lawyers, providing unprecedented clarity on how complex jury dynamics impact case outcomes. Simulation technology allows attorneys to run unlimited focus group tests with venue-specific juror models, providing a data-driven approach to trial preparation that dramatically reduces uncertainty. • Local factors profoundly influence jury decisions with significant variations between counties even within the ...
Predictive artificial intelligence is revolutionizing how witnesses are prepared and how their testimony is perceived by juries, creating powerful new opportunities for civil plaintiff trial lawyers. • Four core elements determine witness credibility: perceived knowledge, trustworthiness, confidence, and likability • Small behavioral cues like hand gestures, hesitations, or fidgeting might significantly impact juror perception • Advanced AI tools can analyze witness testimony to identify inc...
Predictive artificial intelligence is revolutionizing civil litigation from reactive document collection to strategic forecasting, helping plaintiff lawyers identify potential case pitfalls and turn them into advantages before depositions begin. • Moving beyond intuition-based decisions to evidence-based processes using sophisticated statistical methodologies • Using behavioral economics to understand how jurors actually make decisions, accounting for cognitive shortcuts and emotional driver...
Witness credibility is the cornerstone of civil plaintiff law, with victory hinging not just on facts but on whether jurors believe testimony. Even truthful testimony can fail if poorly delivered, creating a gap between witness statements and jury reception. • Understanding juror perception is fundamental as jurors bring biases and use cognitive shortcuts when evaluating witnesses • Neuroeconomics reveals how brain mechanisms affect decision-making, explaining why jurors may not follow purel...
We explore how data-driven strategies are revolutionizing opening statements in civil plaintiff cases, focusing on how attorneys can craft persuasive narratives tailored to specific jury pools rather than relying on generic approaches. • Advanced predictive analytics help attorneys understand local biases and cultural attitudes unique to specific venues • Generic narratives often fail to connect with jurors, potentially leading to unfavorable verdicts or undervalued settlements • Using misma...
Witness credibility is the cornerstone of civil litigation where jurors' perceptions and human psychology intersect with facts and qualifications to determine case outcomes. We explore how data analytics and psychographic profiling are revolutionizing how attorneys prepare witnesses and anticipate jury reactions. • Jurors filter testimony through personal lenses including life experiences, values, and biases • Expert witnesses are viewed primarily as teachers whose job is to explain complex ...
What if you could see bias before it sees you? In this episode of Science of Justice, we get into how predictive analytics and hyperlocal data are transforming voir dire in high-stakes civil trials. Learn how to anticipate juror leanings, decode unconscious attitudes, and move beyond gut instinct to build smarter case strategies. From real-world case studies to the science behind early verdict patterns, this episode reveals how trial teams are using data to unlock the psychology of the jury b...
Forget the myth of the “average U.S. juror.” This episode shows why the only data that matters is local. Discover how recruiting a representative sample of mock jurors from your trial county can reveal the community’s true attitudes on negligence and damages. We’ll also spotlight how Jury Analyst | Jury Simulator turns these insights into actionable strategies for trial lawyers. And we’ll break down why using AI platforms like ChatGPT can be misleading—they rely on national averages, not your...
A $3.08 billion jury award. High-stakes trial. No room for error. In this episode, we unpack how real-time SJQ analysis and social profiling uncovered hidden juror bias before voir dire began. Learn how data helped the trial team strike smarter, spot risk faster, and gain the confidence to frame their case precisely. This is the wake-up call if you’re still relying on instinct in jury selection. Send us a text https://scienceofjustice.com/
This episode delves into the groundbreaking use of AI personas in understanding human behavior, particularly within civil litigation. We explore how machine-intelligent personas can provide data-driven insights into juror reactions, witness credibility, and case strategy. Discover real-world examples with the scientific basis behind AI's ability to predict human responses, as demonstrated by studies. We also discuss practical applications for legal professionals, including tools like JuryAnal...
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